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Nonparametric Kernel Regression Approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F19%3A43955792" target="_blank" >RIV/49777513:23520/19:43955792 - isvavai.cz</a>

  • Result on the web

    <a href="https://www2.scopus.com/record/display.uri?eid=2-s2.0-85070802548&origin=resultslist&sort=plf-f&src=s&sid=5a834ddff312d6226f5c6fb8e0888bf5&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2856120952800%29&relpos=0&citeCnt=0&searchTerm=" target="_blank" >https://www2.scopus.com/record/display.uri?eid=2-s2.0-85070802548&origin=resultslist&sort=plf-f&src=s&sid=5a834ddff312d6226f5c6fb8e0888bf5&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2856120952800%29&relpos=0&citeCnt=0&searchTerm=</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Nonparametric Kernel Regression Approach

  • Original language description

    This paper is focused on a possible methodology for estimating of regression curve by nonparametric kernel regression approach. The main objective is a description of nonparametric regression function with using Nadaraya-Watson approach including a real data application for beer consumption in the Czech Republic and the Slovak Republic. It includes the influence of the basic parameters and proposal some appropriate optimization methods. It means a calibration of the proposed model.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    <a href="/en/project/LO1506" target="_blank" >LO1506: Sustainability support of the centre NTIS - New Technologies for the Information Society</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    18th Conference on Applied Mathematics, APLIMAT 2019 - Proceedings

  • ISBN

    978-80-227-4884-1

  • ISSN

  • e-ISSN

  • Number of pages

    15

  • Pages from-to

    1182-1196

  • Publisher name

    SPEKTRUM STU

  • Place of publication

    Bratislava

  • Event location

    Bratislava, Slovensko

  • Event date

    Feb 5, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article